Keywords

Abstract

Nowadays, pedestrian recognition based on image process
ing is widely tackled. Generally, pedestrian recognition is
constructed by combining detection and tracking of pedes
trians. However, accuracy of pedestrian recognition de
grades since non-pedestrian objects are tracked once they
are falsely detected as pedestrians. To overcome this prob
lem, a novel pedestrian recognition by combining detection
based on boosting and skeleton-based stochastic tracking
with false positive detection is proposed. In the proposed
scheme, false positives are detected based on the variance
of predicted skeleton in a tracking phase. The experimen
tal results by applying the proposed scheme to a sequence
provided by PETS show that false positives can be detected
by the proposed scheme based on the variance.